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Rebeckah K. Fussell; Megan Flynn; Anil Damle; Michael F. J. Fox; N. G. Holmes – Physical Review Physics Education Research, 2025
Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…
Descriptors: Physics, Computational Linguistics, Classification, Laboratory Experiments
Lin, Van-Kim; Madill, Rebecca – Administration for Children & Families, 2019
"Spatial analysis" is an analytic method that uses location-based variables or maps to understand how places, the characteristics of places, and the people and things in places are arranged in space, as well as the reasons for these arrangements. This resource focuses on how spatial analysis can be used to understand early care and…
Descriptors: Spatial Ability, Early Childhood Education, Child Care, Geographic Location
Leblanc, Michael; Dufore, Emily; McDougal, James – Journal of Applied School Psychology, 2012
Cutscores for reading and math (general outcome measures) to predict passage on New York state-mandated assessments were created by using a freely available Excel workbook. The authors used linear regression to create the cutscores and diagnostic indicators were provided. A rationale and procedure for using this method is outlined. This method…
Descriptors: Academic Achievement, Regression (Statistics), School Personnel, Evaluation Methods